STRASMORE/EXPLORE 3,171 QUERIES

bist_cakisma

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-07, from us-stock-market-hours-istanbul-time.

as of series 9×4read in context →
bist_cakisma — 9 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labelsessionsoverlap_share_pct
2026-01-01Ocak 20262013.8
2026-02-01Şubat 20261913.7
2026-03-01Mart 20262224.3
2026-04-01Nisan 20262128.7
2026-05-01Mayıs 20262026.7
2026-06-01Haziran 20262124.4
2026-07-01Temmuz 20262228.1
2026-08-01Ağustos 20262127.5
2026-09-01Eylül 20262125.8
Rows × columns
9 × 4
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for bist_cakisma, derived from the stored result.
ColumnTypeRangeNotes
month date 2026-01-01 to 2026-09-01
month_label text 9 distinct values (Ağustos 2026, Eylül 2026, Haziran 2026…)
sessions number 19 to 22
overlap_share_pct number 13.7 to 28.7 percent

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

WITH regular AS
(
    SELECT
        toTimeZone(window_start, 'Europe/Istanbul') AS ist_time,
        volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2026-01-01 00:00:00')
      AND window_start <  toDateTime('2026-10-01 00:00:00')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
)
SELECT
    toString(toStartOfMonth(toDate(ist_time))) AS month,
    concat(arrayElement(['Ocak', 'Şubat', 'Mart', 'Nisan', 'Mayıs', 'Haziran',
                         'Temmuz', 'Ağustos', 'Eylül', 'Ekim', 'Kasım', 'Aralık'],
                        toMonth(ist_time)),
           ' ',
           toString(toYear(ist_time)))         AS month_label,
    countDistinct(toDate(ist_time))            AS sessions,
    round(100 * sumIf(volume, toHour(ist_time) < 18) / sum(volume), 1) AS overlap_share_pct
FROM regular
GROUP BY month, month_label
ORDER BY month
⌘/Ctrl + Enter

Bu verilerle yapay zekâ asistanınızda çalışın

Bu sayfanın verileriyle sorgulamaya hazır açılır. Ücretsiz, hesap gerekmez.

Claude ChatGPT Gemini Muse Kendi ajanınız